In-Silico Methodologies for Cancer Multidrug Optimization

Abstract

Drug combinations is considered as an effective strategy designed to control complex diseases like cancer. Combinations of drugs can effectively decrease side effects and enhance adaptive resistance. Therefore, increasing the likelihood of defeating complex diseases in a synergistic way. This is due to overcoming factors such as off-target activities, network robustness, bypass mechanisms, cross-talk across compensatory escape pathways and the mutational heterogeneity which results in alterations within multiple molecular pathways. The plurality of effective drug combinations used in clinic were found out through experience. The molecular mechanisms underlying these drug combinations are often not clear. It is not easy to suggest new drug combinations. Computational approaches are proposed to reduce the search space for defining the most promising combinations and prioritizing their experimental evaluation. In this paper, we review methods, techniques and hypotheses developed for in silico methodologies for drug combination discovery in cancer and discuss the limitations and challenges of these methods.

An Architectural Framework for Generating Food Safety Key Performance Indicators

“…The proposed framework adopt the homogenous team work of different techniques that are presented in different research [31]. Providing integrated approaches has proved its success in previously [32].…”

“…According to [46], each of these goals requires a suitable mining task as each has its own nature for processing. In more details, representing the current situation is introduced in [47] while matching similarities have been applied in different research concerning different fields such as in [32] and proved its applicability. Determining the deviations and highlighting the alarm is a subsequent task and is also discussed in [48], and finally the recommendations are successfully discussed in many research such as in [49] which proved its effectiveness in different practical situations.…”

A Collaborative Evaluation Metrics Approach for Classification Algorithms

“…Mining techniques have previously proven its effective contribution in the medical field [1], [2], [3]. As [15], consequently, the current research mainly aims at highlighting the most efficient evaluation metrics for the presented classification algorithms.…”